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Improving Hierarchical Adversarial Robustness of Deep Neural Networks

Improving Hierarchical Adversarial Robustness of Deep Neural Networks

17 February 2021
A. Ma
Aladin Virmaux
Kevin Scaman
Juwei Lu
    AAML
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Papers citing "Improving Hierarchical Adversarial Robustness of Deep Neural Networks"

4 / 4 papers shown
Title
Understanding the robustness difference between stochastic gradient
  descent and adaptive gradient methods
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
A. Ma
Yangchen Pan
Amir-massoud Farahmand
AAML
25
5
0
13 Aug 2023
Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Natalie Abreu
Nathan Vaska
Victoria Helus
AAML
OOD
24
3
0
21 Nov 2022
Superclass Adversarial Attack
Superclass Adversarial Attack
Soichiro Kumano
Hiroshi Kera
T. Yamasaki
AAML
37
1
0
29 May 2022
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
293
3,110
0
04 Nov 2016
1